Results 171 to 180 of about 22,027,746 (211)

Multifractal analysis of a measure of multifractal exact dimension

Nonlinear Analysis: Theory, Methods & Applications, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
exaly   +3 more sources

Multifractal Analysis in Neuroimaging

The characteristics of biomedical signals are not captured by conventional measures like the average amplitude of the signal. The methodologies derived from fractal geometry have been a very useful approach to study the degree of irregularity of a signal. The monofractal analysis of a signal is defined by a single power-law exponent in assuming a scale
Lopes, Renaud
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3D multifractal characterization of computed tomography images of soils under different tillage management: Linking multifractal parameters to physical properties

Geoderma, 2020
Multifractal analysis of pore images obtained from X-ray computed tomography (CT) was used to characterize the scaling properties of macropores in soils with different managements and their correspondence with macroscopic physical properties related with
Diego Soto Gomez, Paula Pérez-Rodríguez, Marcos Paradelo   +2 more
exaly   +2 more sources

Multifractal analysis of earthquakes

pure and applied geophysics, 1992
Multifractal properties of the epicenter and hypocenter distribution and also of the energy distribution of earthquakes are studied for California, Japan, and Greece. The calculated D q −q curves (the generalized dimension) indicate that the earthquake process is multifractal or heterogeneous in the fractal dimension.
Tadashi Hirabayashi, Keisuke Ito, Toshikatsu Yoshii   +2 more
openaire   +1 more source

Multifractals, texture, and image analysis

Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003
Image analysis using texture and multifractal paradigms is addressed. Multifractal theory and its application to image description are discussed, and it is shown that this approach allows the discrete signal to be worked on directly. A system for texture classification that is based on a learning scheme and does not make use of any a priori model is ...
Lévy Véhel, Jacques, Mignot, P., Berroir, Jean-Paul   +2 more
openaire   +4 more sources

Nonsimultaneous hierarchy: Multifractal analysis

Physical Review A, 1990
We define a simple hierarchical model in two dimensions incorporating two independent and nonsimultaneous rescaling procedures in orthogonal directions. The multifractal framework and corresponding thermodynamic formalism necessary for analyzing models of this type are set up using the concept of partial dimensions, and the model is then analyzed.
, Amritkar, , Gupte
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Bootstrap for Empirical Multifractal Analysis

IEEE Signal Processing Magazine, 2007
Multifractal analysis is becoming a standard statistical analysis technique. In signal processing, it mostly consists of estimating scaling exponents characterizing scale invariance properties. For practical purposes, confidence intervals in estimation and p values in hypothesis testing are of primary importance. In empirical multifractal analysis, the
Herwig Wendt, Patrice Abry, Stéphane Jaffard   +2 more
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Multifractal Analysis for the Teichmüller Flow

Mathematical Physics, Analysis and Geometry, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Meson, Alejandro Mario, Vericat, Fernando   +1 more
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Reading multifractal spectra: Aging by multifractal analysis of heart rate

EPL (Europhysics Letters), 2011
The method of effective reading of multifractal properties is proposed. The method consists in the analysis of a given signal together with the analysis of an integrated signal. A practical way to separate monofractal-type signals from other signals is given. The method is applied to 24-hour ECG recordings of RR-interbeat intervals to assess the effect
Danuta Makowiec, Andrzej Rynkiewicz, Gałąska, R., Wdowczyk-Szulc, J., Żarczyńska-Buchowiecka, M.   +4 more
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Image analysis using multifractals

1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings, 2002
The efficacy of the multifractal spectrum as a tool for characterizing images has been studied. This spectrum has been computed for digitized images of the nucleus of human cervical cancer cells and it was observed that the entire spectrum is almost fully reproduced for a normal cell while only the right half ...
K. Uma, Kandan R. Ramakrishnan, G. Ananthakrishna   +2 more
openaire   +1 more source